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Vestnik YuUrGU. Ser. Mat. Model. Progr., 2018, Volume 11, Issue 2, Pages 14–28 (Mi vyuru428)  

Mathematical Modelling

Modelling the flow of character recognition results in video stream

V. V. Arlazarovab, O. A. Slavinab, A. V. Uskova, I. M. Janiszewskia

a Federal Research Center "Informatics and Management" of RAS, Moscow, Russian Federation
b JSC "Smart Engines Service", Moscow, Russian Federation

Abstract: The paper considers problems of developing stochastic models consistent with results of character image recognition in video stream. A set of assumptions that define the models structure and properties is stated. A class of distributions, namely the Dirichlet distribution and its generalizations, that set a description of the model components is pointed out; and methods for statistical estimation of the distribution parameters are given. To rank the models, the Akaike information criterion is used. The proposed theoretical distributions are verified vs sample data.

Keywords: stochastic model; video stream; the character recognition; Dirichlet distribution; Akaike criterion; goodness-of-fit Anderson–Darling tests.

Funding Agency Grant Number
Russian Foundation for Basic Research 16-07-01051_
17-29-03297__
This work is supported by Russian Foundation for Basic Research (projects No. 16-07-01051 and 17-29-03297).


DOI: https://doi.org/10.14529/mmp180202

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Document Type: Article
UDC: 004.021
MSC: 90C35, 90C27
Received: 20.04.2018
Language: English

Citation: V. V. Arlazarov, O. A. Slavin, A. V. Uskov, I. M. Janiszewski, “Modelling the flow of character recognition results in video stream”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 11:2 (2018), 14–28

Citation in format AMSBIB
\Bibitem{ArlSlaUsk18}
\by V.~V.~Arlazarov, O.~A.~Slavin, A.~V.~Uskov, I.~M.~Janiszewski
\paper Modelling the flow of character recognition results in video stream
\jour Vestnik YuUrGU. Ser. Mat. Model. Progr.
\yr 2018
\vol 11
\issue 2
\pages 14--28
\mathnet{http://mi.mathnet.ru/vyuru428}
\crossref{https://doi.org/10.14529/mmp180202}


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